[20260602_065415_xlmr] metrics
Browse files
metrics/20260602_065415_xlmr_metrics.json
ADDED
|
@@ -0,0 +1,115 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"run_id": "20260602_065415_xlmr",
|
| 3 |
+
"model": "xlm-roberta-base",
|
| 4 |
+
"dataset": "Nexus-Analytics/multilingual-hate-detection-dataset",
|
| 5 |
+
"labels": {
|
| 6 |
+
"hate": 0,
|
| 7 |
+
"normal": 1
|
| 8 |
+
},
|
| 9 |
+
"hyperparameters": {
|
| 10 |
+
"learning_rate": 2e-05,
|
| 11 |
+
"batch_size": 16,
|
| 12 |
+
"weight_decay": 0.01,
|
| 13 |
+
"warmup_ratio": 0.1,
|
| 14 |
+
"epochs": 8,
|
| 15 |
+
"max_len": 256
|
| 16 |
+
},
|
| 17 |
+
"class_weights": {
|
| 18 |
+
"hate": 0.8463939266132433,
|
| 19 |
+
"normal": 1.2217216607816876
|
| 20 |
+
},
|
| 21 |
+
"splits": {
|
| 22 |
+
"train": 20068,
|
| 23 |
+
"val": 4300,
|
| 24 |
+
"test": 4301
|
| 25 |
+
},
|
| 26 |
+
"results": {
|
| 27 |
+
"overall": {
|
| 28 |
+
"accuracy": 0.9986,
|
| 29 |
+
"f1_macro": 0.9986,
|
| 30 |
+
"f1_weighted": 0.9986,
|
| 31 |
+
"per_class": {
|
| 32 |
+
"hate": {
|
| 33 |
+
"precision": 0.9992,
|
| 34 |
+
"recall": 0.9984,
|
| 35 |
+
"f1": 0.9988,
|
| 36 |
+
"support": 2541
|
| 37 |
+
},
|
| 38 |
+
"normal": {
|
| 39 |
+
"precision": 0.9977,
|
| 40 |
+
"recall": 0.9989,
|
| 41 |
+
"f1": 0.9983,
|
| 42 |
+
"support": 1760
|
| 43 |
+
}
|
| 44 |
+
},
|
| 45 |
+
"confusion_matrix": [
|
| 46 |
+
[
|
| 47 |
+
2537,
|
| 48 |
+
4
|
| 49 |
+
],
|
| 50 |
+
[
|
| 51 |
+
2,
|
| 52 |
+
1758
|
| 53 |
+
]
|
| 54 |
+
]
|
| 55 |
+
},
|
| 56 |
+
"en": {
|
| 57 |
+
"accuracy": 0.9972,
|
| 58 |
+
"f1_macro": 0.9972,
|
| 59 |
+
"f1_weighted": 0.9972,
|
| 60 |
+
"per_class": {
|
| 61 |
+
"hate": {
|
| 62 |
+
"precision": 0.9989,
|
| 63 |
+
"recall": 0.9955,
|
| 64 |
+
"f1": 0.9972,
|
| 65 |
+
"support": 886
|
| 66 |
+
},
|
| 67 |
+
"normal": {
|
| 68 |
+
"precision": 0.9957,
|
| 69 |
+
"recall": 0.9989,
|
| 70 |
+
"f1": 0.9973,
|
| 71 |
+
"support": 931
|
| 72 |
+
}
|
| 73 |
+
},
|
| 74 |
+
"confusion_matrix": [
|
| 75 |
+
[
|
| 76 |
+
882,
|
| 77 |
+
4
|
| 78 |
+
],
|
| 79 |
+
[
|
| 80 |
+
1,
|
| 81 |
+
930
|
| 82 |
+
]
|
| 83 |
+
]
|
| 84 |
+
},
|
| 85 |
+
"ar": {
|
| 86 |
+
"accuracy": 0.9996,
|
| 87 |
+
"f1_macro": 0.9995,
|
| 88 |
+
"f1_weighted": 0.9996,
|
| 89 |
+
"per_class": {
|
| 90 |
+
"hate": {
|
| 91 |
+
"precision": 0.9994,
|
| 92 |
+
"recall": 1.0,
|
| 93 |
+
"f1": 0.9997,
|
| 94 |
+
"support": 1655
|
| 95 |
+
},
|
| 96 |
+
"normal": {
|
| 97 |
+
"precision": 1.0,
|
| 98 |
+
"recall": 0.9988,
|
| 99 |
+
"f1": 0.9994,
|
| 100 |
+
"support": 829
|
| 101 |
+
}
|
| 102 |
+
},
|
| 103 |
+
"confusion_matrix": [
|
| 104 |
+
[
|
| 105 |
+
1655,
|
| 106 |
+
0
|
| 107 |
+
],
|
| 108 |
+
[
|
| 109 |
+
1,
|
| 110 |
+
828
|
| 111 |
+
]
|
| 112 |
+
]
|
| 113 |
+
}
|
| 114 |
+
}
|
| 115 |
+
}
|